TL;DR
Staff Software Engineer (Data Infrastructure): Designing, building, and operating secure, reliable, and cost-efficient data infrastructure that powers Slack’s analytics, ML, and data-driven decision-making with an accent on core data services, observability, and automation. Focus on scaling compute and orchestration layers, enabling real-time OLAP capabilities, and driving improvements in security and developer experience.
Location: Remote within the US (California, Washington, Georgia)
Company
hirify.global is a leading cloud-based software company, and Slack is its business communication platform.
What you will do
- Design, build, and operate scalable data infrastructure for analytics and ML.
- Serve as DRI for core data services like EMR, StarRocks, Pinot, and Airflow.
- Improve security, cost efficiency, and developer experience across data infrastructure.
- Build automation and self-service tools that empower data teams.
- Collaborate with data engineering, platform, and security teams on scalable solutions.
- Contribute to observability, monitoring, and alerting via Grafana and related tooling.
Requirements
- 7+ years of software or infrastructure engineering experience, including time spent supporting data-intensive systems or data platforms.
- Proven experience in building, deploying, and operating distributed infrastructure at scale.
- Strong technical background with big data and infrastructure technologies (EMR, Airflow, Kubernetes, etc.).
- Proficiency in Python, Golang, Bash, and SQL.
- Familiarity with CI/CD (GitHub Actions), Vault, Terraform, Chef, and Grafana.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Nice to have
- Hands-on experience supporting data pipelines or data engineering workflows.
Culture & Benefits
- Positive, diverse, and supportive culture valuing curiosity, inventiveness, and collaboration.
- Engineers who care deeply about craftsmanship, reliability, and empowering others.
- Strive to be smart, humble, hardworking, and collaborative.
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